Purpose: The ongoing challenge of underutilized deceased donor kidneys inspires Organ Procurement Organizations (OPOs) to intensify their efforts in uncovering the key characteristics that significantly impact the allocation of these vital organs. By systematically analyzing these factors, OPOs strive to establish reliable indicators to illuminate the optimal timing for initiating rescue-path kidney allocation for marginal kidneys. Embracing AI models to determine the donor characteristics that influence kidney dispositions represents a crucial initiative.
Methods: The Organ Procurement and Transplantation Network data is an invaluable resource for training and validating advanced AI models that effectively address the intricacies of donor disposition for kidneys recovered for transplant. These cutting-edge models are designed to predict kidney disposition, both with and without biopsy results. This strategic focus enables OPOs to harness these models effectively, pinpointing which features have the most significant impact on kidney utilization. This knowledge is crucial for guiding the optimal timing of rescue-path kidney allocation, ultimately enhancing patient outcomes and maximizing the potential of every donor organ.